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In the simulation, Impact ver2.3 was used.
Finally, data and experiment results of data modeling, simulation, impact assessment, and decision generation are discussed.
Using finite element simulation, impact loads generated on bridge piers during barge collisions have been predicted in this chapter.
The developed application demonstrates by simulation impact of several degrees of freedom in design of nonlinear model based methods: performance achievable by the dynamical feedforward, influence of different control constraints, of the parameter uncertainty, and of the closed loop dead time.
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The predictions are validated against results from numerical simulations of a model impact microactuator.
An iterative process was used where an UNDEX response, determined through previous results, preliminary UNDEX simulations, and impact simulations, provided the parameters necessary for a precision impact test that generates an equivalent response.
The results are analyzed using pair correlation functions, showing that different microstructures are obtained for different Pt nano-particle sizes, and also that inclusion of PFSI in the simulations impacts significantly the final configuration of Pt nano-particles.
This was not the case in this analysis because the only simulations impacted by a cost-effectiveness threshold were located in the bottom-left quadrant of the scatter plots (representing simulations in which ranibizumab was cheaper and less effective than aflibercept; Figure 3).
Impact simulation results, including impact loads and barge deformations, are presented and compared in the chapter to data generated using currently accepted bridge design specifications.
How inclusion of simulation will impact on a standardized curriculum has yet to be evaluated formally.
Recent studies dealt with simulation of impact load cases (Heimbs et al. 2008; Heimbs et al. 2007).
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